Use faster runners and uv action caching in pr.yaml#1884
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Add a config file for `actionlint`, to define some GitHub runners that it does not know about.
Use 16-core runners for jobs that are time-consuming, and `ubuntu-slim` for those that are fast.
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This pull request introduces a new configuration file .github/actionlint.yaml to configure actionlint with custom self-hosted and GitHub-hosted runner labels used across TensorFlow and Quantumlib organizations. I have no feedback to provide on these changes.
We never use the manual invocation of this anyway.
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This configures the CI workflow to use larger custom GitHub runners. In addition:
uvactions/setup-pythonto get the Python version frompyproject.toml